| The role of emotion in problem solving RV Belavkin Proceedings of the AISB’01 Symposium on emotion, cognition and affective …, 2001 | 119 | 2001 |
| Mutation rate plasticity in rifampicin resistance depends on Escherichia coli cell–cell interactions R Krašovec, RV Belavkin, JAD Aston, A Channon, E Aston, BM Rash, ... Nature communications 5 (1), 3742, 2014 | 93 | 2014 |
| Spontaneous mutation rate is a plastic trait associated with population density across domains of life R Krašovec, H Richards, DR Gifford, C Hatcher, KJ Faulkner, RV Belavkin, ... PLoS biology 15 (8), e2002731, 2017 | 70 | 2017 |
| The use of entropy for analysis and control of cognitive models RV Belavkin, FE Ritter Proceedings of the Fifth International Conference on Cognitive Modelling, 21-26, 2003 | 45 | 2003 |
| Modelling the inverted-U effect in ACT-R RV Belavkin Proceedings of the 2001 Fourth International Conference on Cognitive …, 2001 | 44 | 2001 |
| OPTIMIST: A new conflict resolution algorithm for ACT-R. R Belavkin, F Ritter Sixth International Conference on Cognitive Modelling, 40-45, 2004 | 31 | 2004 |
| Detection of application layer DDoS attacks with clustering and Bayes factors P Chwalinski, R Belavkin, X Cheng 2013 IEEE International Conference on Systems, Man, and Cybernetics, 156-161, 2013 | 23 | 2013 |
| Towards including simple emotions in a cognitive architecture in order to better fit children’s behavior RV Belavkin, FE Ritter, DG Elliman Proceedings of the Twenty-first Annual Conference of the Cognitive Science …, 2020 | 22 | 2020 |
| Counting with neurons: rule application with nets of fatiguing leaking integrate and fire neurons. C Huyck, R Belavkin 7th International Conference on Cognitive Modelling, 142-147, 2006 | 20 | 2006 |
| Optimal measures and Markov transition kernels RV Belavkin Journal of Global Optimization 55, 387-416, 2013 | 19 | 2013 |
| Information trajectory of optimal learning RV Belavkin Dynamics of information systems: Theory and applications, 29-44, 2010 | 18 | 2010 |
| On emotion, learning and uncertainty: A cognitive modelling approach RV Belavkin University of Nottingham, 2003 | 18 | 2003 |
| On relation between emotion and entropy RV Belavkin Proceedings of the AISB 4, 1-8, 2004 | 17 | 2004 |
| Opposing effects of final population density and stress on Escherichia coli mutation rate R Krašovec, H Richards, DR Gifford, RV Belavkin, A Channon, E Aston, ... The ISME journal 12 (12), 2981-2987, 2018 | 16 | 2018 |
| Detection of application layer DDoS attack with clustering and likelihood analysis P Chwalinski, R Belavkin, X Cheng 2013 IEEE Globecom Workshops (GC Wkshps), 217-222, 2013 | 14 | 2013 |
| Monotonicity of fitness landscapes and mutation rate control RV Belavkin, A Channon, E Aston, J Aston, R Krašovec, CG Knight Journal of mathematical biology 73, 1491-1524, 2016 | 13 | 2016 |
| Detection of HTTP-GET attack with clustering and information theoretic measurements P Chwalinski, R Belavkin, X Cheng Foundations and Practice of Security: 5th International Symposium, FPS 2012 …, 2013 | 12 | 2013 |
| On evolution of an information dynamic system and its generating operator RV Belavkin Optimization Letters 6, 827-840, 2012 | 12 | 2012 |
| Relation between the Kantorovich–Wasserstein metric and the Kullback–Leibler divergence RV Belavkin Information Geometry and Its Applications: On the Occasion of Shun-ichi …, 2018 | 11 | 2018 |
| Conflict resolution and learning probability matching in a neural cell-assembly architecture RV Belavkin, CR Huyck Cognitive Systems Research 12 (2), 93-101, 2011 | 11 | 2011 |
Chris KnightUniversity of ManchesterVerified email at manchester.ac.uk
